Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation
Also Available Domains Xilinx Vivado|Xilinx ISE
Abstract
Multiplication is a technique that allows for smaller, faster multiplication circuits, by recoding the numbers that are multiplied. It is the standard technique used in chip design, and provides significant improvements over the "long multiplication" technique. In this paper, we present a high speed radix-8 booth multiplier for accelerating programs inclusive of digital filters, artificial neural networks, and different machine learning algorithms. For the computation of 3X an approximate adder has been designed to enhance the efficiency of the booth multiplication and sign extension limitation has been applied to reduce the area. The Radix-8 Booth Encoder circuit generates n/3 the partial products in parallel. By extending sign bit of the operands and generating a partial product of Radix-8 Booth Encoder multiplier is obtained.
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Block Diagram
Specifications
Software Requirements:
· Xilinx ISE/Vivado Tool
· HDL: Verilog
Hardware Requirements:
· Microsoft® Windows XP
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
· 512 MB RAM
· 100 MB of available disk space
Learning Outcomes
- Basics of Digital Electronics
- VLSI design Flow
- Introduction to Verilog Coding
- Different modeling styles in Verilog
o Data Flow modeling
o Structural modeling
o Behavioural modelling
o Mixed level modeling
- Introduction to booth multiplier design
- About Wallace tree reduction
- Knowledge on partial product generation and reduction
- Knowledge on adders, compressors
- About Radix 4 & radix 8 approximation computing
- Applications in real time
· Xilinx ISE 14.7/Xilinx Vivado for design and simulation
· Generation of Netlist
· Solution providing for real time problems
· Project Development Skills:
o Problem Analysis Skills
o Problem Solving Skills
o Logical Skills
o Designing Skills
o Testing Skills
o Debugging Skills
o Presentation Skills
o Thesis Writing Skills
Paper Publishing
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